Fenrix Financial News Lake: 37.5 Million Articles for Portfolio Research

Fenrix Financial News Lake is a topic-organized collection of financial news data for portfolio-management decision research. The verified sanitized backing lake contains 37,571,131 rows across 1,461 Parquet shards and 8 sources. The dataset was authored by Scottswi and last updated on Hugging Face in July 2026.

Use Cases

• Train topic classification models based on the described article_group and article_type organization.
• Analyze temporal trends in financial news coverage based on the year/month partitioning structure.
• Conduct multi-source news analysis for market research based on the inclusion of 8 distinct sources.
• Build datasets for NLP research on financial text based on the large-scale collection of news articles.

Strengths

• Large scale with 37,571,131 rows of financial news data.
• Structured organization by article meaning (article_group, article_type, year/month) rather than raw source lineage.
• Includes row-level audit metadata for source, license, URL, and provenance.
• Data is described as verified and sanitized.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The specific sources, licenses, and temporal coverage are not detailed in the provided input.

Provenance

Source

Aggregated from 8 unspecified financial news sources.

Collection Method

Likely web-scraped or API-collected, then verified and sanitized.

Freshness

Last updated 2026-07-03 08:50:06; freshness should be verified.